{"total":124,"rows":[{"id":"2302.03169","title":"Data Selection for Language Models via Importance Resampling","created":"2023-02-06","cited_by_count":329,"area":null},{"id":"2403.10131","title":"RAFT: Adapting Language Model to Domain Specific RAG","created":"2024-03-15","cited_by_count":262,"area":null},{"id":"2109.03764","title":"Active Learning by Acquiring Contrastive Examples","created":"2021-09-08","cited_by_count":156,"area":null},{"id":"2306.04140","title":"Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions","created":"2023-06-07","cited_by_count":125,"area":null},{"id":"2110.08534","title":"Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora","created":"2021-10-16","cited_by_count":115,"area":null},{"id":"2106.07499","title":"An Empirical Survey of Data Augmentation for Limited Data Learning in NLP","created":"2021-06-14","cited_by_count":101,"area":null},{"id":"2201.08531","title":"Black-box Prompt Learning for Pre-trained Language Models","created":"2022-01-21","cited_by_count":70,"area":null},{"id":"2406.14491","title":"Instruction Pre-Training: Language Models are Supervised Multitask Learners","created":"2024-06-20","cited_by_count":63,"area":null},{"id":"2210.09932","title":"Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature","created":"2022-10-18","cited_by_count":55,"area":null},{"id":"2509.25911","title":"Mem-{\\alpha}: Learning Memory Construction via Reinforcement Learning","created":"2025-09-30","cited_by_count":55,"area":"lr"},{"id":"2502.10708","title":"Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey","created":"2025-02-15","cited_by_count":51,"area":null},{"id":"2309.09530","title":"Adapting Large Language Models to Domains via Reading Comprehension","created":"2023-09-18","cited_by_count":50,"area":null},{"id":"2506.00711","title":"QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training","created":"2025-05-31","cited_by_count":38,"area":"lr"},{"id":"2109.02555","title":"GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain","created":"2021-09-06","cited_by_count":36,"area":null},{"id":"2109.07460","title":"Efficient Domain Adaptation of Language Models via Adaptive Tokenization","created":"2021-09-15","cited_by_count":34,"area":null},{"id":"2111.04130","title":"NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework","created":"2021-11-07","cited_by_count":34,"area":null},{"id":"2306.05406","title":"Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories","created":"2023-06-08","cited_by_count":34,"area":null},{"id":"2311.17597","title":"Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning","created":"2023-11-29","cited_by_count":34,"area":null},{"id":"2405.02774","title":"Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs","created":"2024-05-05","cited_by_count":32,"area":null},{"id":"2401.15422","title":"A Survey on Data Augmentation in Large Model Era","created":"2024-01-27","cited_by_count":31,"area":"diffusion"},{"id":"2405.12130","title":"MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning","created":"2024-05-20","cited_by_count":31,"area":null},{"id":"2107.00414","title":"MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting","created":"2021-07-01","cited_by_count":30,"area":null},{"id":"2504.03964","title":"Clinical ModernBERT: An efficient and long context encoder for biomedical text","created":"2025-04-04","cited_by_count":26,"area":null},{"id":"2302.10447","title":"Mask-guided BERT for Few Shot Text Classification","created":"2023-02-21","cited_by_count":25,"area":null},{"id":"2110.14171","title":"Diversity Enhanced Active Learning with Strictly Proper Scoring Rules","created":"2021-10-27","cited_by_count":22,"area":null},{"id":"2405.16747","title":"Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective","created":"2024-05-27","cited_by_count":22,"area":null},{"id":"2301.10416","title":"AI vs. Human -- Differentiation Analysis of Scientific Content Generation","created":"2023-01-24","cited_by_count":21,"area":null},{"id":"2306.11892","title":"Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications","created":"2023-06-20","cited_by_count":21,"area":null},{"id":"2310.14088","title":"MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation","created":"2023-10-21","cited_by_count":19,"area":null},{"id":"2406.06357","title":"MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows","created":"2024-06-10","cited_by_count":19,"area":null},{"id":"2407.16695","title":"Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack","created":"2024-07-23","cited_by_count":19,"area":null},{"id":"2205.03512","title":"CORWA: A Citation-Oriented Related Work Annotation Dataset","created":"2022-05-07","cited_by_count":17,"area":null},{"id":"2210.06277","title":"Task Compass: Scaling Multi-task Pre-training with Task Prefix","created":"2022-10-12","cited_by_count":14,"area":null},{"id":"2108.13751","title":"A Search Engine for Discovery of Scientific Challenges and Directions","created":"2021-08-31","cited_by_count":12,"area":null},{"id":"2305.12816","title":"Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model","created":"2023-05-22","cited_by_count":12,"area":null},{"id":"2102.06008","title":"Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers","created":"2021-02-11","cited_by_count":11,"area":null},{"id":"2410.12178","title":"Model Balancing Helps Low-data Training and Fine-tuning","created":"2024-10-16","cited_by_count":11,"area":null},{"id":"2401.07284","title":"Improving Domain Adaptation through Extended-Text Reading Comprehension","created":"2024-01-14","cited_by_count":10,"area":null},{"id":"2212.03613","title":"G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks","created":"2022-12-07","cited_by_count":9,"area":null},{"id":"2310.01423","title":"An Empirical Study of AI Generated Text Detection Tools","created":"2023-09-27","cited_by_count":9,"area":null},{"id":"2201.01880","title":"Automatic Related Work Generation: A Meta Study","created":"2022-01-06","cited_by_count":8,"area":null},{"id":"2402.16515","title":"LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification","created":"2024-02-26","cited_by_count":8,"area":"distill"},{"id":"2411.08028","title":"Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data","created":"2024-11-12","cited_by_count":8,"area":"distill"},{"id":"2601.08435","title":"Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management","created":"2026-01-13","cited_by_count":8,"area":"agents"},{"id":"2111.08529","title":"Improving the robustness and accuracy of biomedical language models through adversarial training","created":"2021-11-16","cited_by_count":7,"area":null},{"id":"2311.08704","title":"Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains","created":"2023-11-15","cited_by_count":7,"area":null},{"id":"2502.11671","title":"Diversity-oriented Data Augmentation with Large Language Models","created":"2025-02-17","cited_by_count":7,"area":null},{"id":"2312.10116","title":"Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning","created":"2023-12-15","cited_by_count":6,"area":null},{"id":"2412.11455","title":"Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2503.00624","title":"An evaluation of DeepSeek Models in Biomedical Natural Language Processing","created":"2025-03-01","cited_by_count":6,"area":null},{"id":"2606.25161","title":"TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory","created":"2026-06-23","cited_by_count":6,"area":"agents"},{"id":"2103.05231","title":"Self-supervised Regularization for Text Classification","created":"2021-03-09","cited_by_count":5,"area":null},{"id":"2506.03857","title":"Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation","created":"2025-06-04","cited_by_count":5,"area":"distill"},{"id":"2103.05131","title":"Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data","created":"2021-03-08","cited_by_count":4,"area":null},{"id":"2210.13084","title":"Full-Text Argumentation Mining on Scientific Publications","created":"2022-10-24","cited_by_count":4,"area":null},{"id":"2304.09402","title":"MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning","created":"2023-04-19","cited_by_count":4,"area":null},{"id":"2412.17836","title":"Look Ahead Text Understanding and LLM Stitching","created":"2024-12-16","cited_by_count":4,"area":null},{"id":"2606.07923","title":"Larch: Learned Query Optimization for Semantic Predicates","created":"2026-06-06","cited_by_count":4,"area":null},{"id":"2111.03184","title":"LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator","created":"2021-11-04","cited_by_count":3,"area":null},{"id":"2208.10228","title":"Review of Natural Language Processing in Pharmacology","created":"2022-08-22","cited_by_count":3,"area":null},{"id":"2305.11564","title":"Decouple knowledge from parameters for plug-and-play language modeling","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2307.00968","title":"REAL: A Representative Error-Driven Approach for Active Learning","created":"2023-07-03","cited_by_count":3,"area":null},{"id":"2307.11031","title":"Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2311.00408","title":"AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification","created":"2023-11-01","cited_by_count":3,"area":null},{"id":"2402.10639","title":"Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning","created":"2024-02-16","cited_by_count":3,"area":null},{"id":"2509.12610","title":"ScaleDoc: Scaling LLM-based Predicates over Large Document Collections","created":"2025-09-16","cited_by_count":3,"area":null},{"id":"2510.17892","title":"Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review","created":"2025-10-18","cited_by_count":3,"area":null},{"id":"2601.15773","title":"Next Generation Active Learning: Mixture of LLMs in the Loop","created":"2026-01-22","cited_by_count":3,"area":null},{"id":"2305.14728","title":"SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2306.04820","title":"Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers","created":"2023-06-07","cited_by_count":2,"area":null},{"id":"2403.15744","title":"On the Fragility of Active Learners for Text Classification","created":"2024-03-23","cited_by_count":2,"area":null},{"id":"2406.05625","title":"ATLAS: Improving Lay Summarisation with Attribute-based Control","created":"2024-06-09","cited_by_count":2,"area":null},{"id":"2411.15623","title":"Multi-label Sequential Sentence Classification via Large Language Model","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2502.20581","title":"The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2506.14336","title":"AviationLLM: An LLM-based Knowledge System for Aviation Training","created":"2025-06-17","cited_by_count":2,"area":"rag"},{"id":"2110.14729","title":"Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection","created":"2021-10-27","cited_by_count":1,"area":null},{"id":"2111.15473","title":"Beyond Self Attention: A Subquadratic Fourier Wavelet Transformer with Multi Modal Fusion","created":"2021-11-25","cited_by_count":1,"area":null},{"id":"2112.08787","title":"AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models","created":"2021-12-16","cited_by_count":1,"area":"synth"},{"id":"2201.07112","title":"Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task","created":"2022-01-18","cited_by_count":1,"area":null},{"id":"2205.13572","title":"Clinical Dialogue Transcription Error Correction using Seq2Seq Models","created":"2022-05-26","cited_by_count":1,"area":null},{"id":"2305.03287","title":"Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge","created":"2023-05-05","cited_by_count":1,"area":null},{"id":"2310.04074","title":"Automatic Aspect Extraction from Scientific Texts","created":"2023-10-06","cited_by_count":1,"area":null},{"id":"2311.06382","title":"Transfer Learning for Structured Pruning under Limited Task Data","created":"2023-11-10","cited_by_count":1,"area":null},{"id":"2403.16941","title":"SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation","created":"2024-03-25","cited_by_count":1,"area":null},{"id":"2404.00224","title":"Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learning","created":"2024-03-30","cited_by_count":1,"area":null},{"id":"2405.05493","title":"Parameter-Efficient Fine-Tuning With Adapters","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2407.10086","title":"Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine","created":"2024-07-14","cited_by_count":1,"area":null},{"id":"2408.13278","title":"Randomization Techniques to Mitigate the Risk of Copyright Infringement","created":"2024-08-21","cited_by_count":1,"area":null},{"id":"2410.10006","title":"TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining","created":"2024-10-13","cited_by_count":1,"area":null},{"id":"2508.02029","title":"A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2510.08750","title":"Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2512.19213","title":"InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2512.23065","title":"TabiBERT: A Large-Scale ModernBERT Foundation Model and A Unified Benchmark for Turkish","created":"2025-12-28","cited_by_count":1,"area":null},{"id":"2603.03856","title":"Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2604.06505","title":"MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts","created":"2026-04-07","cited_by_count":1,"area":"lr"},{"id":"2606.01617","title":"EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2110.15721","title":"Paperswithtopic: Topic Identification from Paper Title Only","created":"2021-10-09","cited_by_count":0,"area":null},{"id":"2112.01842","title":"Automatic evaluation of scientific abstracts through natural language processing","created":"2021-11-14","cited_by_count":0,"area":null},{"id":"2202.00802","title":"A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts","created":"2022-02-01","cited_by_count":0,"area":null},{"id":"2210.14576","title":"Uncertainty Sentence Sampling by Virtual Adversarial Perturbation","created":"2022-10-26","cited_by_count":0,"area":null}],"next_cursor":"100"}